Assortativity patterns in multi-dimensional inter-organizational networks: A case study of the humanitarian relief sector

Kang Zhao; Louis Marie Ngamassi; John Yen; Carleen Maitland; Andrea Tapia

doi:10.1007/978-3-642-12079-4_33

Assortativity patterns in multi-dimensional inter-organizational networks: A case study of the humanitarian relief sector

Kang Zhao, Louis Marie Ngamassi, John Yen, Carleen Maitland, Andrea Tapia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Scopus citations

Abstract

We use computational tools to study assortativity patterns in multi-dimensional inter-organizational networks on the basis of different node attributes. In the case study of an inter-organizational network in the humanitarian relief sector, we consider not only macro-level topological patterns, but also assortativity on the basis of micro-level organizational attributes. Unlike assortative social networks, this inter-organizational network exhibits disassortative or random patterns on three node attributes. We believe organizations' seek of complementarity is one of the main reasons for the special patterns. Our analysis also provides insights on how to promote collaborations among the humanitarian relief organizations.

Original language	English (US)
Title of host publication	Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings
Pages	265-272
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-12079-4_33
State	Published - 2010
Event	3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010 - Bethesda, MD, United States Duration: Mar 30 2010 → Mar 31 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6007 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010
Country/Territory	United States
City	Bethesda, MD
Period	3/30/10 → 3/31/10

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-12079-4_33

Cite this

Zhao, K., Ngamassi, L. M., Yen, J., Maitland, C., & Tapia, A. (2010). Assortativity patterns in multi-dimensional inter-organizational networks: A case study of the humanitarian relief sector. In Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings (pp. 265-272). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6007 LNCS). https://doi.org/10.1007/978-3-642-12079-4_33

Zhao, Kang ; Ngamassi, Louis Marie ; Yen, John et al. / Assortativity patterns in multi-dimensional inter-organizational networks : A case study of the humanitarian relief sector. Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. 2010. pp. 265-272 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "We use computational tools to study assortativity patterns in multi-dimensional inter-organizational networks on the basis of different node attributes. In the case study of an inter-organizational network in the humanitarian relief sector, we consider not only macro-level topological patterns, but also assortativity on the basis of micro-level organizational attributes. Unlike assortative social networks, this inter-organizational network exhibits disassortative or random patterns on three node attributes. We believe organizations' seek of complementarity is one of the main reasons for the special patterns. Our analysis also provides insights on how to promote collaborations among the humanitarian relief organizations.",

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Zhao, K, Ngamassi, LM, Yen, J , Maitland, C & Tapia, A 2010, Assortativity patterns in multi-dimensional inter-organizational networks: A case study of the humanitarian relief sector. in Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6007 LNCS, pp. 265-272, 3rd International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Bethesda, MD, United States, 3/30/10. https://doi.org/10.1007/978-3-642-12079-4_33

Assortativity patterns in multi-dimensional inter-organizational networks: A case study of the humanitarian relief sector. / Zhao, Kang; Ngamassi, Louis Marie; Yen, John et al.
Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. 2010. p. 265-272 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6007 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - We use computational tools to study assortativity patterns in multi-dimensional inter-organizational networks on the basis of different node attributes. In the case study of an inter-organizational network in the humanitarian relief sector, we consider not only macro-level topological patterns, but also assortativity on the basis of micro-level organizational attributes. Unlike assortative social networks, this inter-organizational network exhibits disassortative or random patterns on three node attributes. We believe organizations' seek of complementarity is one of the main reasons for the special patterns. Our analysis also provides insights on how to promote collaborations among the humanitarian relief organizations.

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Zhao K, Ngamassi LM, Yen J , Maitland C , Tapia A. Assortativity patterns in multi-dimensional inter-organizational networks: A case study of the humanitarian relief sector. In Advances in Social Computing - Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Proceedings. 2010. p. 265-272. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-12079-4_33

Assortativity patterns in multi-dimensional inter-organizational networks: A case study of the humanitarian relief sector

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